Hiring Organization: Target

Post Name: Data Science

Qualifications: Graduation

Work Hours: 8

Salary: $20-$30/Hour

Locations: Topeka, USA

Job Description:

Our Supply Chain Data Science team oversees the development of cutting-edge mathematical techniques to help solve critical supply chain problems for Target, e.g. identify optimal inventory quantities and placement across multiple channels and locations, plan the right mix of inventory investments versus guest experience, digital order fulfillment planning, transportation resource planning, optimal order allocation, etc. As a data science leader in the digital fulfillment space, you will have the opportunity to create insight and drive the adoption of cutting-edge quantitative techniques in building advanced optimization and simulation models that inform order allocation of guests to optimize customer service. flow to meet digital demand. This is a great opportunity for leaders who are passionate about creating value by leveraging science to improve organizational decision-making.

As the director of data science at Target, you will be the technical lead of a team that will design, develop, implement and maintain large-scale optimization algorithms and models for our retail business. You will work closely with applied data scientists, data analysts and supply chain business partners to learn more about our business needs. You will also work with engineers from the technology teams to build and produce data science solutions for our digital compliance needs. The Director of Data Sciences will work with business, technology and product partners to define product roadmaps that fit our ecosystem and solve the challenges of retail at scale. You will build consensus and communicate with senior management. He will lead the creation of new standards and best practices with a focus on emerging technologies and authored numerous project related documents, vision statements and roadmaps.

• You will develop and lead a world class team by providing development, coaching, motivation, support and feedback to team members. You will also create an atmosphere of teamwork and collaboration, inclusion, communication of day-to-day decisions, priorities and relevant project information. You will manage resource allocation and define and communicate the team's overall vision and goals. In this Data Science Director role, you will:
• Develop a solid understanding of business and operational processes within the Target supply chain.
• Develop a deep understanding of the various systems and processes that affect the speed and cost of digital order fulfillment. Identify opportunities to drive efficiencies through simulation/optimization/improved decision models.
• Lead a team that writes code for mathematical and statistical modeling. Develop a modular framework to build large-scale simulation and optimization models for your compliance network
• Add new capabilities and capabilities to optimization templates to reflect the complexities of an ever-changing digital compliance network
• Develop models and simulations for various supply chain network scenarios to optimize business outcomes
• Design and develop algorithms and solutions using operations research, machine learning techniques, heuristics and approximation algorithms
• Have a working knowledge of exact approximation algorithms and heuristic methods for solving difficult optimization problems such as order allocation, network design, transport routing, etc.
• Set up experiments, validate hypotheses, and leverage simulation capabilities to continuously improve algorithms and decision-making.
• Drive business decisions by highlighting opportunities, identifying correlations, designing experiments, and determining cause-and-effect relationships.
• Collaborate with product and technology teams to advance and integrate solutions into execution systems, such as order orchestration and allocation, transportation, etc. Define financial, analytical and business metrics to measure the results of the complicated decision model and produce performance reports.
• Lead a team of high-performing data scientists and be comfortable conducting code and design reviews to solve complex business problems in the digital compliance space. Communicate model findings and recommendations to senior management, in a very clear and concise manner.
• Foster a culture of algorithmic decision-making throughout the organization by encouraging stakeholders to integrate data science solutions into their decision-making processes. Collaborate with business users and engineering teams to design, implement, and drive adoption of the optimization and simulation-based models your team develops.

Requirements:

• Master's degree/PhD in Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or equivalent work/industrial experience
• More than 8 years of experience in modeling and algorithms.
• Over 3 years of managing/leading, professional development and advising ML teams
• Significant experience in algorithm design, linear algebra, statistics, Markov decision making, etc. Hands-on experience developing advanced optimization and simulation models using LP, MILP, dynamic programming, combinatorial and stochastic optimization, etc.
• Exposure to designing and implementing operations research algorithms using commercial software such as Gurobi, Cplex, etc.
• Experience working with and developing simulation models using commercial software such as extendsim/any logic
• Experience implementing large-scale business impact models in commercial environments.
• Proven experience in strategic and cross-functional leadership, planning and execution.
• Thorough understanding of data structures and algorithms.
• Highly proficient in Python, Spark, Kotlin, R or JVM ecosystem
• Excellent written and verbal communication skills. Ability to clearly tell data-driven stories through visualizations, charts, and appropriate narratives

Extra points:

• Knowledge of last mile, middle mile or other business domains transferable to supply chain/logistics. Expertise in machine learning algorithms
• Experience working with large event driven distributed systems and multi-threaded applications
• Track record of embracing and leading change and influencing teams to adopt changes in methodology and development/delivery processes

Why work with us at Target?

• You will work directly on the data science issues that have the greatest impact across Target's entire Supply Chain, Forecasting, and Digital Fulfillment team. We love open source! Many of our team members contribute to open source communities and do so during their work hours. We try to give back to our communities where we can and are grateful to be able to open some of our own projects!
• We value diversity. We believe diversity and inclusion are vital when we seek to create positive in-store experiences for our customers, and we believe they are also vital when building our teams. Read more about our commitment to diversity and inclusion
• We value our team members for who they are, not just what they can do. We treat team members like people, not like cogs in a machine. We are parents, fans, enthusiasts, family members and community members and can offer flexibility in the hours and ways our team members work so they can thrive both on and off the job.

Top 20 Common Interview Questions

1. Tell me about yourself.
2. What are your strengths and weaknesses?
3. Why do you want to work for our company?
4. What experience do you have that makes you a good fit for this position?
5. What are your long-term career goals?
6. How do you handle stress and pressure?
7. Can you give me an example of a time when you had to resolve a conflict with a colleague?
8. What do you know about our industry/competitors?
9. How do you stay organized and manage your workload?
10. Can you describe a time when you had to think creatively to solve a problem?
11. How do you handle criticism or feedback?
12. What motivates you to perform at your best?
13. How do you prioritize tasks and manage your time effectively?
14. What do you think are the most important qualities for success in this role?
15. Can you describe your leadership style?
16. Can you walk me through your resume and explain any gaps or inconsistencies?
17. What do you think sets you apart from other candidates?
18. How do you handle ambiguity or uncertainty in a project?
19. Can you give an example of a time when you had to adapt to a new situation quickly?
20. What questions do you have for us?

It's important to prepare for these types of questions and think about how you can best showcase your skills and experience to demonstrate why you're the right fit for the job.